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To do this, simply open the respective report in Google Analytics, but once in the main data view and then the one in the backup data view. In the example above, this would be the report under “Acquisition why the months . Then you can check to what extent the filter works and filters out the unwanted references from the main data view. If you have newly implemented Google Analytics, monitor your data and analyze it after a week or two. Then you can already determine to what extent additional filters are necessary. Check your data regularly. If you need help, contact us ! Tip: Take a look at the “Hostname” traffic in the backup data view – there you may sometimes find domains that, for example, generate duplicate content or deliver “fake traffic” and show you the need for action.
Use the favorites function If you have multiple data views or even properties, the overview can quickly become lost and it usually takes a moment to pick out the right data view. I would therefore like to Mexico Telegram Number Data give you a tip for using the favorites function. To quickly see the data view relevant to your evaluations, you can mark data views (and also properties and accounts) with an asterisk (see screenshot). Favorites function in Google Analytics Especially during handovers or when several people are working on a project, you can quickly see which data view they are working with and refer to the same source for analyzes and reporting.
Filter out bots Nothing is more unpleasant than having irrelevant access to GA and ruining your statistics. In addition to the function of setting filters mentioned in point 1, there is another way to get some control Canada Phone Number over the whole thing – namely with the “Filter out bots” setting. You can do this under “Administration” > “Data View” > “Data View Settings”. This prevents access from the most well-known crawlers. This is worth a lot to keep your data clean in Google Analytics. That’s how it’s done: Filter out bots setting in Google Analytics The effects of this checkmark are not entirely trivial, as the following screenshots show. In this example, I recently set the data to filter out the bots.
